Rob Wiederstein
33d0fc31c7
End-to-end LightGBM fraud detection pipeline built as an R package, orchestrated by targets with data stored in MinIO via Apache Arrow. Includes 6-layer Lakehouse architecture, class imbalance tournament, formally tuned hyperparameters (PR-AUC 0.198), and Quarto RevealJS slides. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
17 lines
348 B
R
17 lines
348 B
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/functions.R
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\name{plot_var_imp}
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\alias{plot_var_imp}
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\title{Plot Variable Importance}
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\usage{
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plot_var_imp(model, title = "")
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}
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\arguments{
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\item{model}{Trained LightGBM model}
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\item{title}{Character. Plot title. Default "".}
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}
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\description{
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Plot Variable Importance
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}
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